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-- SQLBench-DS query 89 derived from TPC-DS query 89 under the terms of the TPC Fair Use Policy.
-- TPC-DS queries are Copyright 2021 Transaction Processing Performance Council.
-- This query was generated at scale factor 1.
select *
from(
select i_category, i_class, i_brand,
s_store_name, s_company_name,
d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over
(partition by i_category, i_brand, s_store_name, s_company_name)
avg_monthly_sales
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
d_year in (2001) and
((i_category in ('Children','Jewelry','Home') and
i_class in ('infants','birdal','flatware')
)
or (i_category in ('Electronics','Music','Books') and
i_class in ('audio','classical','science')
))
group by i_category, i_class, i_brand,
s_store_name, s_company_name, d_moy) tmp1
where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1
order by sum_sales - avg_monthly_sales, s_store_name
LIMIT 100;